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Minor Computer Science (24 credits)

Offered by: Computer Science     Degree: Bachelor of Engineering

Program Requirements

Minor Adviser: Students interested in this Minor should see Liette Chin, Undergraduate Program Coordinator, in the School of Computer Science (Lorne Trottier Building, Room 2070) to obtain the appropriate forms, and should see both the Minor Adviser in Computer Science and their department adviser for approval of their course selection. Forms must be submitted and approved before the end of the Course Change (drop/add) period of the student's final term.

Note: This Minor is open to B.Eng., B.S.E., and B.Sc.(Arch.) students in Engineering.

Engineering students may obtain the Computer Science minor as part of their B.Eng., B.S.E., or B.Sc.(Arch.) degree by completing the 24 credits of courses passed with a grade of C or better. In general, some complementary courses within B.Eng. and B.S.E. programs may be used to satisfy some of these requirements, but the Minor will require at least 12 extra credits from Computer Science (COMP) courses beyond those needed for the B.Eng. or B.S.E. degree. Students should consult their departments about the use of complementaries, and credits that can be double counted.

Note: COMP 202 and COMP 208 (compulsory for some Engineering students do not form part of the Minor in Computer Science.)

For more information, see the School of Computer Science website: http://www.cs.mcgill.ca.

Required Courses

6 credits

  • COMP 206 Introduction to Software Systems (3 credits)

    Offered by: Computer Science (Faculty of Science)

    Overview

    Computer Science (Sci) : Comprehensive overview of programming in C, use of system calls and libraries, debugging and testing of code; use of developmental tools like make, version control systems.

    Terms: Fall 2013, Winter 2014

    Instructors: Joseph P Vybihal (Fall) Joseph P Vybihal (Winter)

    • 3 hours
    • Prerequisite: COMP 202 or COMP 250
  • COMP 250 Introduction to Computer Science (3 credits)

    Offered by: Computer Science (Faculty of Science)

    Overview

    Computer Science (Sci) : An introduction to the design of computer algorithms, including basic data structures, analysis of algorithms, and establishing correctness of programs. Overview of topics in computer science.

    Terms: Fall 2013, Winter 2014

    Instructors: Mathieu Blanchette (Fall) Doina Precup, Mathieu Blanchette (Winter)

    • 3 hours
    • Prerequisites: Familiarity with a high level programming language and CEGEP level Math.
    • Restrictions: COMP 203 and COMP 250 are considered to be equivalent from a prerequisite point of view, and cannot both be taken for credit.

Complementary Courses

18 credits

3 credits from the following:

  • COMP 302 Programming Languages and Paradigms (3 credits)

    Offered by: Computer Science (Faculty of Science)

    Overview

    Computer Science (Sci) : Programming language design issues and programming paradigms. Binding and scoping, parameter passing, lambda abstraction, data abstraction, type checking. Functional and logic programming.

    Terms: Fall 2013, Winter 2014

    Instructors: Brigitte Pientka (Fall) Prakash Panangaden (Winter)

    • 3 hours
    • Prerequisite: COMP 250
  • COMP 303 Software Development (3 credits)

    Offered by: Computer Science (Faculty of Science)

    Overview

    Computer Science (Sci) : Principles, mechanisms, techniques, and tools for object-oriented software development: encapsulation, design patterns, unit testing, etc.

    Terms: Fall 2013

    Instructors: Martin Robillard (Fall)

    • 3 hours
    • Prerequisites: COMP 206, COMP 250.
    • The course involves a significant project.

3 credits from the following:

  • COMP 273 Introduction to Computer Systems (3 credits)

    Offered by: Computer Science (Faculty of Science)

    Overview

    Computer Science (Sci) : Number representations, combinational and sequential digital circuits, MIPS instructions and architecture datapath and control, caches, virtual memory, interrupts and exceptions, pipelining.

    Terms: Fall 2013, Winter 2014

    Instructors: Joseph P Vybihal (Fall) Paul Kry (Winter)

    • 3 hours
    • Corequisite: COMP 206.
  • ECSE 221 Introduction to Computer Engineering (3 credits)

    Offered by: Electrical & Computer Engr (Faculty of Engineering)

    Overview

    Electrical Engineering : Data representation in digital computers. Boolean algebra. Basic combinational circuits; their analysis and synthesis. Elements of sequential circuits: latches, flip-flops, counters and memory circuits. Computer structure, central processing unit, machine language. Assemblers and assembler language.

    Terms: Fall 2013, Winter 2014

    Instructors: Haibo Zeng (Fall) Fabrice Labeau (Winter)

    • (3-2-4)
    • Prerequisite: COMP 202
    • Tutorials assigned by instructor.

Revision, June 2013. Start of revision.

3-4 credits from the following:

  • CIVE 320 Numerical Methods (4 credits)

    Offered by: Civil Engineering (Faculty of Engineering)

    Overview

    Civil Engineering : Numerical procedures applicable to civil engineering problems: integration, differentiation, solution of initial-value problems, solving linear and non-linear systems of equations, boundary-value problems for ordinary-differential equations, and for partial-differential equations.

    Terms: Fall 2013

    Instructors: Dimitrios Lignos (Fall)

    • (4-2-6)
    • Prerequisites: COMP 208, MATH 264.
  • COMP 350 Numerical Computing (3 credits)

    Offered by: Computer Science (Faculty of Science)

    Overview

    Computer Science (Sci) : Computer representation of numbers, IEEE Standard for Floating Point Representation, computer arithmetic and rounding errors. Numerical stability. Matrix computations and software systems. Polynomial interpolation. Least-squares approximation. Iterative methods for solving a nonlinear equation. Discretization methods for integration and differential equations.

    Terms: Fall 2013

    Instructors: Xiao-Wen Chang (Fall)

    • 3 hours
    • Prerequisites: MATH 222 and MATH 223 and one of: COMP 202, COMP 208, COMP 250; or equivalents.
  • ECSE 443 Introduction to Numerical Methods in Electrical Engineering (3 credits)

    Offered by: Electrical & Computer Engr (Faculty of Engineering)

    Overview

    Electrical Engineering : Symbolic vs. numerical computation. Number representation and numerical error; curve fitting and interpolation; numerical differentiation and integration; solutions of systems of linear equations and nonlinear equations; solutions of ordinary and partial differential equations; optimization. Applications in electrical engineering analysis and design. Evaluation of numerical software packages.

    Terms: Winter 2014

    Instructors: Hannah Michalska (Winter)

    • (3-2-4)
    • Prerequisites: ECSE 221, ECSE 330, ECSE 351 or ECSE 353.
    • Corequisite: For CE students only: ECSE 353.
  • MATH 317 Numerical Analysis (3 credits)

    Offered by: Mathematics and Statistics (Faculty of Science)

    Overview

    Mathematics & Statistics (Sci) : Error analysis. Numerical solutions of equations by iteration. Interpolation. Numerical differentiation and integration. Introduction to numerical solutions of differential equations.

    Terms: Fall 2013

    Instructors: Peter Bartello (Fall)

    • Fall
    • Prerequisites: MATH 315 or MATH 325 or MATH 263, and COMP 202 or permission of instructor.
  • MECH 309 Numerical Methods in Mechanical Engineering (3 credits)

    Offered by: Mechanical Engineering (Faculty of Engineering)

    Overview

    Mechanical Engineering : Numerical techniques for problems commonly encountered in Mechanical Engineering are presented. Chebyshev interpolation, quadrature, roots of equations in one or more variables, matrices, curve fitting, splines and ordinary differential equations. The emphasis is on the analysis and understanding of the problem rather than the details of the actual numerical program.

    Terms: Winter 2014

    Instructors: Farhang Daneshmand (Winter)

    • (3-1-5)
    • Prerequisites: MATH 263, MATH 271, COMP 208.
Revision, June 2013. End of revision.

0-3 credits from the following:

  • COMP 251 Algorithms and Data Structures (3 credits)

    Offered by: Computer Science (Faculty of Science)

    Overview

    Computer Science (Sci) : Introduction to algorithm design and analysis. Graph algorithms, greedy algorithms, data structures, dynamic programming, maximum flows.

    Terms: Fall 2013, Winter 2014

    Instructors: Prakash Panangaden, Gheorghe Comanici (Fall) Michael Langer (Winter)

    • 3 hours
    • Prerequisite: COMP 250 or COMP 203.
    • Restrictions: Not open to students who have taken or are taking COMP 252.

6-9 credits chosen from other Computer Science courses at the 300 level or higher.

Notes:

A. COMP 208 may be taken before COMP 250; however, it cannot be taken for credit in the same term or afterward.

B. COMP 396 (Undergraduate Research Project) cannot be taken for credit toward this Minor.

Courses that make considerable use of computing from other departments may also be selected, with the approval of the School of Computer Science. Students should consult with their advisers about counting specific courses.

Faculty of Engineering—2013-2014 (last updated Aug. 21, 2013) (disclaimer)